Decision by Opinion Score Method (DOSM) a novel solution for multi criteria decision making problem
<p>This research aimed to propose a new multi-criteria decision-making method called Decision</p><p>by Opinion Score Method (DOSM), which was based on the idea of an ideal solution that has been</p><p>utilized for reference compar...
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Al Haideri, Abdulhadi Qays Abdulhadi Decision by Opinion Score Method (DOSM) a novel solution for multi criteria decision making problem |
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<p>This research aimed to propose a new multi-criteria decision-making method called Decision</p><p>by Opinion Score Method (DOSM), which was based on the idea of an ideal solution that has been</p><p>utilized for reference comparison. This research used the TOPSIS method to design DOSM because both</p><p>depended on an ideal solution to solve the MCDM problem. Meanwhile, TOPSIS consisted of a series of</p><p>mathematical operations that has several problems, and DOSM was intended to solve these problems.</p><p>DOSM rank was obtained from direct aggregation, or compromise rank, or grey relational analysis.</p><p>The case study in a computer network was used in this research which has 9 alternatives (A1- A9)</p><p>and four criteria. Three experts were involved in the evaluation for the reference comparison</p><p>process to obtain the best alternative. The result of A9 obtained 88.8% in terms of ranking and it</p><p>was the best alternative for experts 1 and 3. For expert 2, A1 was ranked as the worst alternative</p><p>and the A5 was ranked the best alternative. DOSM was also developed for group decision making with</p><p>internal and external aggregation besides the voting method. In an internal aggregation, A4 was the</p><p>best alternative with direct aggregation and compromise rank, while A9 was the best alternative for</p><p>grey relational. As for external aggregation, the best alternative was A9 for direct aggregation</p><p>and grey relational analysis ranks. For the voting method, A9 obtained a majority of votes (66.7%)</p><p>was the winner, which has the plurality and majority. A4 was the winner of the Borda method with 23</p><p>scores. The second case study for the mobile section problem was solved by DOSM, AHP, and BWM. A</p><p>comparison was made among them to demonstrate the significance of DOSM. In conclusion, the DOSM is</p><p>an effective solution for multi criteria decision making problems. This study implicates that DOSM</p><p>is an optimal method for making decision and it could be applied in</p><p>different real-life situations.</p><p></p> |
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Al Haideri, Abdulhadi Qays Abdulhadi |
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Al Haideri, Abdulhadi Qays Abdulhadi |
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Al Haideri, Abdulhadi Qays Abdulhadi |
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Decision by Opinion Score Method (DOSM) a novel solution for multi criteria decision making problem |
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Decision by Opinion Score Method (DOSM) a novel solution for multi criteria decision making problem |
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Decision by Opinion Score Method (DOSM) a novel solution for multi criteria decision making problem |
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Decision by Opinion Score Method (DOSM) a novel solution for multi criteria decision making problem |
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Decision by Opinion Score Method (DOSM) a novel solution for multi criteria decision making problem |
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decision by opinion score method (dosm) a novel solution for multi criteria decision making problem |
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Universiti Pendidikan Sultan Idris |
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Fakulti Seni, Komputeran dan Industri Kreatif |
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2020 |
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oai:ir.upsi.edu.my:85972023-01-16 Decision by Opinion Score Method (DOSM) a novel solution for multi criteria decision making problem 2020 Al Haideri, Abdulhadi Qays Abdulhadi <p>This research aimed to propose a new multi-criteria decision-making method called Decision</p><p>by Opinion Score Method (DOSM), which was based on the idea of an ideal solution that has been</p><p>utilized for reference comparison. This research used the TOPSIS method to design DOSM because both</p><p>depended on an ideal solution to solve the MCDM problem. Meanwhile, TOPSIS consisted of a series of</p><p>mathematical operations that has several problems, and DOSM was intended to solve these problems.</p><p>DOSM rank was obtained from direct aggregation, or compromise rank, or grey relational analysis.</p><p>The case study in a computer network was used in this research which has 9 alternatives (A1- A9)</p><p>and four criteria. Three experts were involved in the evaluation for the reference comparison</p><p>process to obtain the best alternative. The result of A9 obtained 88.8% in terms of ranking and it</p><p>was the best alternative for experts 1 and 3. For expert 2, A1 was ranked as the worst alternative</p><p>and the A5 was ranked the best alternative. DOSM was also developed for group decision making with</p><p>internal and external aggregation besides the voting method. In an internal aggregation, A4 was the</p><p>best alternative with direct aggregation and compromise rank, while A9 was the best alternative for</p><p>grey relational. As for external aggregation, the best alternative was A9 for direct aggregation</p><p>and grey relational analysis ranks. For the voting method, A9 obtained a majority of votes (66.7%)</p><p>was the winner, which has the plurality and majority. A4 was the winner of the Borda method with 23</p><p>scores. The second case study for the mobile section problem was solved by DOSM, AHP, and BWM. A</p><p>comparison was made among them to demonstrate the significance of DOSM. In conclusion, the DOSM is</p><p>an effective solution for multi criteria decision making problems. This study implicates that DOSM</p><p>is an optimal method for making decision and it could be applied in</p><p>different real-life situations.</p><p></p> 2020 thesis https://ir.upsi.edu.my/detailsg.php?det=8597 https://ir.upsi.edu.my/detailsg.php?det=8597 text eng closedAccess Doctoral Universiti Pendidikan Sultan Idris Fakulti Seni, Komputeran dan Industri Kreatif <p>Abidin, M. Z., Rusli, R., & Shariff, A. M. (2016). Technique for Order Performance by</p><p>Similarity to Ideal Solution (TOPSIS)-entropy Methodology for Inherent Safety Design Decision</p><p>Making Tool. Procedia Engineering, 148, 1043-1050.</p><p></p><p>Akyuz, E., & Celik, M. (2014). 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